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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
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    Explanations

    years

    oai_token-act-pair · gpt-3.5-turbo

    references to specific years, particularly focusing on the year 1986 and its significance

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hed
    -0.75
     clipboard
    -0.65
     deliber
    -0.65
     entirety
    -0.65
     ship
    -0.65
     periphery
    -0.64
     hungry
    -0.64
     srf
    -0.64
    uden
    -0.62
     procedural
    -0.62
    POSITIVE LOGITS
    å¹
    1.02
    -'
    0.85
     ����
    0.77
    ãĤ¦ãĤ¹
    0.75
    ãĥ«
    0.73
    borgh
    0.72
    ãĥĻ
    0.71
    ĸļ
    0.70
    ãĥ¼
    0.69
    inho
    0.69
    Activations Density 0.021%

    No Known Activations